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Pulmonary Vascular Disease |

Are Meterological Parameters a Precursor of Pulmonary Embolism?

Tuba Inal, MD; Ceyda Anar, MD; Ipek Unsal, MD; Gülru Polat, MD; Hüseyin Halilçolar, PhD
Author and Funding Information

Izmir Dr. Suat Seren Chest Disease and Thoracic Surgery Research and Training Hospital, Izmir, Turkey


Chest. 2014;145(3_MeetingAbstracts):525A. doi:10.1378/chest.1833755
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Abstract

SESSION TITLE: DVT/PE Posters

SESSION TYPE: Poster Presentations

PRESENTED ON: Saturday, March 22, 2014 at 01:15 PM - 02:15 PM

PURPOSE: In this retrospective study, we compare the meterological parameters between the patients who had risk factors and idiopatic pulmonary embolism (PE) patients. We looked for seasonal variations in the incidence of idiopathic PE and a relationship with atmospheric pressure, humidity, or temperature.

METHODS: 530 Patients with PE confirmed by CT pulmonary angiography and ventilation /perfusion scan were included. We diveded the patients into two groups: PE with risk factors and PE without risk factors. The following meteorological data were collected from the relevant time period: temperature, humidity, pressure and wind velocity.

RESULTS: The highest numbers of cases were seen in autumn (29,8%), summer (28,9%), spring (22,1%) and winter (19,2%) and this difference was statistically significant (p=0,001). In terms of months the greatest number of cases occurred in the june month (57), followed by november (56), october (54) and this distribution was also statistically significant (p=0.027). The wind direction windwest affected the incidence of PE was statistically significant (p:0,000). There was a statistically significant positive correlation between case frequency and air temperature (r=0.300, p:0,031) and negative correlation between embolism cases and atmospheric pressure (r= -0,263, p:0,060) and with humidity (r: -0,905, p:0,504); although these were not statistically significant. In addition, no correlation was determined between the group without risk factors cases' monthly distribution and pressure, humidity or temperature. However, there was a statistically significant positive correlation between the monthly distribution of the group with risk factors cases and air temperature (r:0,586; p:0,045).

CONCLUSIONS: A statistically significant inverse correlation between atmospheric pressure and temperature and the number of all PE cases were observed in our study, which is inaccordance with other reports. But in idyopathic PE cases there was no coreletion between meterological parameters and case incidence.

CLINICAL IMPLICATIONS: There is now a need for further wide-ranging prospective studies including various hematological parameters to clarify the correlation between idyopathic PE and meterological parameters.

DISCLOSURE: The following authors have nothing to disclose: Tuba Inal, Ceyda Anar, Ipek Unsal, Gülru Polat, Hüseyin Halilçolar

No Product/Research Disclosure Information


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